5 papers
SG-UMP: Sequence-Guided Universal Multimodal Prioritization Calculation Framework
Xinyi Zhang, Yutong Li, Peijie Sun
Multimodal sequential recommendation (MSR) improves recommendation by incorporating heterogeneous information such as text, images, and user interactions. However, existing MSR met…
Teach Multimodal Recommendation Model to See via Personalized Visual Extraction and Adaptive Learning
Yutong Li, Xinyi Zhang, Ziyi Ye +2
Multimodal sequential recommendation (MSR) incorporates textual and visual information to improve recommendation quality. However, recent studies and our empirical analysis show th…
Fine-Tuned LLM as a Complementary Predictor Improving Ads System
Hui Yang, Daiwei He, Kevin Jiang +20
Recommendation systems power engagement and monetization across feeds, ads, and short-video platforms, but translating the latest advances in Large Language Models into Recommendat…
MBD: A Model-Based Debiasing Framework Across User, Content, and Model Dimensions
Yuantong Li, Lei Yuan, Zhihao Zheng +27
Modern recommendation systems rank candidates by aggregating multiple behavioral signals through a value model. However, many commonly used signals are inherently affected by heter…
PRISM: Personalized Recommendation via Information Synergy Module
Xinyi Zhang, Yutong Li, Peijie Sun +2
Multimodal sequential recommendation (MSR) leverages diverse item modalities to improve recommendation accuracy, while achieving effective and adaptive fusion remains challenging.…